Security Scan Report: sp29ct-zemur-biz-telak-vunri.pages.dev

Redirected to:
https://sp29ct-zemur-biz-telak-vunri.pages.dev/appeals/submit-appeal-f...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 9 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://sp29ct-zemur-biz-telak-vunri.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://sp29ct-zemur-biz-telak-vunri.pages.dev/appeals/submit-appeal-f...
Redirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

The page impersonates Meta/Facebook with an official-looking appeal confirmation, but the captured page contains no credential or payment form. Treat as a deceptive brand-impersonation page and avoid interacting.

Risk Factors (4)
Brand impersonation of Meta/Facebook on a domain that is not controlled by Meta
Use of an official-looking account appeal and support workflow to create trust
Hosted on a free Cloudflare Pages subdomain with unknown creation date
Copied Facebook/Meta navigation, footer, and localization elements
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'sp29ct-zemur-biz-telak-vunri.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'sp29ct-zemur-biz-telak-vunri'. Count 5 characters in 'pages' containing 2 vowels alongside 3 consonants. Segmentation suggests one word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp29ct-zemur-biz-telak-vunri.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan fcf962ca

Page Load Overview

0.97s
Total Load Time
467 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,361 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network83% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
83%
technology software
64%
corporate business
36%
documentation technical
31%
e-commerce shopping
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.46.248Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.45.8Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
94--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA02709ACEA0567BEED386DFB161BF6DB2CA149BC147A944B0F811C1C381F948D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gtkqRa+K0kKnh0hZwB4DuLBqiuzIal1juTdk:gtBNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8421:AQUOIQPloC9EiwS2ogJREoMwiEaGpi8gQHpIXG0M7NoKIgTdmFmADIIJZJrIHDYhAZggcXQEkBJIXEIOyknPAAQJbEVIoCQW

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffe7e7e7efefc3e7
Perceptual Hash:b6069c999c669e39
Difference Hash:2a8e8ccc9cdc8e86
Wavelet Hash:ff42c2c2c6c6c2c7
Color Hash:#d279cc

Other Hashes

Crop Resistant:2a8e8ccc9cdc8e86

Scan History

Scan history not available

Unable to load historical scan data